base_model: mochi-1-preview | |
library_name: diffusers | |
license: apache-2.0 | |
tags: | |
- text-to-video | |
- diffusers-training | |
- diffusers | |
- lora | |
- replicate | |
- mochi-1-preview | |
<!-- This model card has been generated automatically according to the information the training script had access to. You | |
should probably proofread and complete it, then remove this comment. --> | |
# Mochi-1 Preview LoRA Finetune | |
This is a LoRA fine-tune of the Mochi-1 preview model. The model was trained using custom training data. | |
## Usage | |
```python | |
from diffusers import MochiPipeline | |
from diffusers.utils import export_to_video | |
import torch | |
pipe = MochiPipeline.from_pretrained("genmo/mochi-1-preview") | |
pipe.load_lora_weights("deepfates/mochi-lora-apt") | |
pipe.enable_model_cpu_offload() | |
video = pipe( | |
prompt="your prompt here", | |
guidance_scale=6.0, | |
num_inference_steps=64, | |
height=480, | |
width=848, | |
max_sequence_length=256, | |
).frames[0] | |
export_to_video(video, "output.mp4", fps=30) | |
``` | |
## Training details | |
Trained on Replicate using: [lucataco/mochi-1-lora-trainer](https://replicate.com/lucataco/mochi-1-lora-trainer) | |
## Intended uses & limitations | |
#### How to use | |
```python | |
# TODO: add an example code snippet for running this diffusion pipeline | |
``` | |
#### Limitations and bias | |
[TODO: provide examples of latent issues and potential remediations] | |
## Training details | |
[TODO: describe the data used to train the model] |